one_doublet_diff_patterns {cardinalR}

Generate Doublets with Different Pattern Clusters and Noise

Description

This function generates data with one set of doublets (pairs of clusters) having different patterns, along with added background noise.

Usage

one_doublet_diff_patterns(n, num_noise, min_n, max_n)

Arguments

n

The total number of data points to be generated.

num_noise

The number of additional noise dimensions to be generated.

min_n

The minimum value for the noise added to the data points.

max_n

The maximum value for the noise added to the data points.

Value

A matrix containing the generated data, with each row representing a data point.

Examples

# Generate doublets with different pattern clusters and noise with custom parameters
set.seed(20240412)
data <- one_doublet_diff_patterns(
  n = 280, num_noise = 2, min_n = -0.05,
  max_n = 0.05
)